SOCIAL INVASIONS

Evolution of sociality in invasive fire ant populations

Coordinatore	UNIVERSITY OF HAIFA    more  Organization address address: "Mount Carmel, Abba Khoushi Blvd." city: HAIFA postcode: 31905 contact info Titolo: Mrs. Nome: Tsvia Cognome: Beker Email: send email Telefono: +972 4 8288485 Fax: +972 4 8249865
Nazionalità Coordinatore	Israel [IL]
Totale costo	100˙000 €
EC contributo	100˙000 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2013-CIG
Funding Scheme	MC-CIG
Anno di inizio	2014
Periodo (anno-mese-giorno)	2014-03-01   -   2018-02-28

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	UNIVERSITY OF HAIFA  Organization address address: "Mount Carmel, Abba Khoushi Blvd." city: HAIFA postcode: 31905 contact info Titolo: Mrs. Nome: Tsvia Cognome: Beker Email: send email Telefono: +972 4 8288485 Fax: +972 4 8249865	IL (HAIFA)	coordinator	100˙000.00

Mappa

 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

 Obiettivo del progetto (Objective)

'Evolutionary theory struggled to explain animal societies for many decades. Ultimate explanations were found but little is known about proximate explanations: how do social traits evolve at the molecular level? Dramatic advances in genome sequencing technologies now allow such questions to be addressed. Ants are a classical study system for social evolutionary research. Their impressive ecological success is attributed to sophisticated cooperation and division of labor. This advantage led some ants such as the fire ants Solenopsis invicta and Solenopsis richteri to become high-impact invasive species. They are also a unique study system where a derived social form evolved higher cooperation, and this polymorphism is a Mendelian trait with a known genetic basis. Here I propose to use native and introduced, S. invicta and S. richteri populations to study adaptation in social traits at the molecular level. A population genomics approach will be used to identify specific genes under selection. Probabilistic modeling and Bayesian estimation will be used to reconstruct the recent evolution and population structure, and to infer selective pressures in native compared to introduced populations. The selection survey will focus on two key aspects of adaptation in social invasive species: (i) genetic factors underlying changes in social behavior and social structure and (ii) immune pathways that bear the pathogenic load, a major selection pressure on social colonies. Thereby, the underlying genetic mechanisms involved in the evolution of social invasive species may be revealed.'